{"id":"W2237440720","doi":"","title":"La matrice combinatoire : une « machine à écrire »","year":2011,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Combinatorics; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003258114,0.00224444,0.00262027,0.003255255,0.002300274,0.00725002,0.002447559,0.002708028,0.01639303],"category_scores_gemma":[0.01250391,0.00170108,0.003170734,0.004084538,0.004166225,0.0104054,0.00487588,0.004760772,0.009127012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157915,"about_ca_system_score_gemma":0.001951989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008077404,"about_ca_topic_score_gemma":0.01027354,"domain_scores_codex":[0.9944192,0.001888389,0.0004018128,0.001408089,0.001711891,0.0001706199],"domain_scores_gemma":[0.9942762,0.003188471,0.0002284188,0.001215998,0.0009359642,0.0001549286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002415329,0.0001002147,0.001407479,0.0005845919,0.0001817165,0.0002930529,0.001120002,0.01283504,0.00855003,0.3461175,0.03228156,0.5962873],"study_design_scores_gemma":[0.00007427255,0.0001188188,0.001530577,0.0003261562,0.0001093796,0.0006164575,0.0003834471,0.2782202,0.01393216,0.4741021,0.2304689,0.000117632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002981341,0.0007486835,0.9858699,0.0007622996,0.0001996623,0.00004191377,0.0003769495,0.004404149,0.004615145],"genre_scores_gemma":[0.06379166,0.0009358028,0.9180049,0.0004762568,0.0006485536,0.0002263495,0.001293874,0.002033877,0.01258879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01639303,"threshold_uncertainty_score":0.05484015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163013308415784,"score_gpt":0.1698968999490253,"score_spread":0.1582667668648675,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}